Formation of Cluster‐Structured Metallic Filaments in Organic Memristors for Wearable Neuromorphic Systems with Bio‐Mimetic Synaptic Weight Distributions

• DOI: 10.1002/advs.202307494
• Publication Date: 2023-12-13T07:47:06Z
• Authors: Uihoon Jung; Miseong Kim; Jaewon Jang; Jin‐Hyuk Bae; In Man Kang; Sin‐Hyung Lee
• Keywords: Neuromorphic engineering; Memristor; Wearable Technology

Abstract With increasing demand for wearable electronics capable of computing huge data, flexible neuromorphic systems mimicking brain functions have been receiving much attention. Despite considerable efforts in developing practical neural networks utilizing several types artificial synapses, it is still challenging to develop complex computations due the difficulties emulating continuous memory states a synaptic component. In this study, polymer conductivity analyzed as crucial factor determining growth dynamics metallic filaments organic memristors. Moreover, memristors with bio‐mimetic such linearly tunable weights are demonstrated by engineering conductivity. memristor, cluster‐structured grown within medium response electric stimuli, resulting gradual resistive switching and stable plasticity. Additionally, device exhibits numerous non‐volatile its low leakage current. Furthermore, hardware including ternary logic operators noisy image recognitions system successfully implemented developed memristor arrays. This promising concept creating weight distributions will contribute development new architecture energy‐efficient smart electronics.